01
Clear, explainable
reasoning for every alert
02
Real-time contextual mapping to attacker behavior and techniques
03
Seamless forwarding across security tools
04
Structured step-by-step recommended actions
05
06
Vision AI automatically explains why an alert was triggered by correlating behavioral signals with evidence-backed reasoning
Vision AI automatically generates standardized, sequenced response actions mapped to MITRE D3FEND framework – ready to integrate with SIEM and SOAR.
Lowers Mean Time to
Detect (MTTD) and Mean
Time to Respond (MTTR)
The LLM serves as one component within a broader multi-agent intelligence framework. Vehere Vision AI combines behavioral analytics, machine learning, large language models, and specialized AI agents
Vehere Vision AI is powered by a hybrid AI framework that combines supervised learning, unsupervised learning, deep learning, large language models (LLMs), and multi-agent systems over real-time and historical network telemetry
Vision AI provides AI rationale for every alert. It explains why an alert was triggered using behavioral patterns, protocol activity, threat intelligence, and historical context, helping analysts understand the evidence behind each detection
Vision AI reduces alert fatigue through confidence-scored alert prioritization and intelligent whitelisting. It identifies likely true positives, surfaces probable false positives, and continuously learns from analyst feedback to suppress repetitive benign activity
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The Vehere Platform